ivannz/mlss2019-bayesian-deep-learning

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ivannz/mlss2019-bayesian-deep-learning

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MLSS2019 Tutorial on Bayesian Deep Learning

cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

trmf

A pythonic library of matrix decomposition methods for multivariate time-series.

Jupyter Notebook

ttmodule

A take on the Tensor Train decomposition

Jupyter Notebook

complex_paper

A paper on experimenting with complex-valued networks and complex var dropout.

Jupyter Notebook

pyRFWebLab

Python interface for RF Web Lab

my-fair-bnb

A bare-bones scipy-based solver for mixed integer LPs

Jupyter Notebook

rlplay

Toy experiments with rl, curiosity and planning

nle_toolbox

Tools, wrappers, and bots for the NLE.

plyr

Apply functions over deeply nested dicts, lists and tuples.

l1_tf

A wrapper for L1 trend filtering via primal-dual algorithm by Kwangmoo Koh, Seung-Jean Kim, and Stephen Boyd

gymDiscoMaze

Implementation of DiscoMaze environment from sec. 4.1 of arxiv:2002.06038

krocki_dnc

(fork krocki/dnc.git) Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

study_notes

A vault for notes on my studies and work

fds2020-packaging

Contents for a session on Packaging in Python

Jupyter Notebook

vqvae

Playing with Vector-Quantized VAE

MarkovDWP

Generalizations of Deep Weight Prior

crossing_paper2017

An unfinished conference paper outlining the experimental results obtained in my course project in 2015.